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Tag Archives: RiboMinus

Comparative evaluation of rRNA depletion procedures for the improved analysis of bacterial biofilm and mixed pathogen culture transcriptomes

January 31, 2017 Leave a comment 4,326 Views

rna-seq

Global transcriptomic analysis via RNA-seq is often hampered by the high abundance of ribosomal (r)RNA in bacterial cells. To remove rRNA and enrich coding sequences, subtractive hybridization procedures have become the approach of choice prior to RNA-seq, with their efficiency ...

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Recent RNA-SEQ Pubs

RNA-Seq Transcriptome Analysis of the Liver and Brain of the Black Carp (Mylopharyngodon piceus) During Fasting
17 April 2021
Author Correction to: Single-cell RNA-seq reveals a concomitant delay in differentiation and cell cycle of aged hematopoietic stem cells
17 April 2021
Bioinformatics and survival analysis of glia maturation factor-γ in pan-cancers
17 April 2021
Decoding molecular markers and transcriptional circuitry of naive and primed states of human pluripotency
16 April 2021
Insight into metabolism pathways of pesticide fomesafen in rice: Reducing cropping and environmental risks
16 April 2021
Transcriptome analysis of signaling pathways targeted by Ellagic acid in hepatocellular carcinoma cells
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What is RNA-Seq?

long RNAs are first converted into a library of cDNA fragments through either RNA fragmentation or DNA fragmentation. Sequencing adaptors (blue) are subsequently added to each cDNA fragment and a short sequence is obtained from each cDNA using high-throughput sequencing technology. The resulting sequence reads are aligned with the reference genome or transcriptome, and classified as three types: exonic reads, junction reads and poly(A) end-reads. These three types are used to generate a base-resolution expression profile for each gene. Nat Rev Genet 10(1):57-63 (2009)


RNA-Seq

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  • rna-seq

    scGNN – a novel graph neural network framework for single-cell RNA-Seq analyses

    2 days ago
  • rna-seq

    Model-based deep embedding for constrained clustering analysis of single cell RNA-seq data

    2 days ago
  • rna-seq

    Novel guidelines help select optimal deconvolution method

    3 days ago
  • rna-seq

    An RNA-Seq framework for profiling target selectivity and physiological effects of antisense peptide nucleic acids (PNAs)

    3 days ago
  • rna-seq

    Single cell sequencing unravels molecular identity of rare renal cell types

    4 days ago
  • rna-seq

    SMIXnorm – fast and accurate RNA-Seq data normalization for FFPE Samples

    4 days ago
  • rna-seq

    TEA-seq – simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility

    5 days ago

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